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Neil Salkind makes numbers more approachable with the 4th edition of Statistics for People Who (Think They) Hate Statistics – easily the most informative and entertaining reference on the subject. This bestselling book discusses all the fundamentals of this mathematical branch, from statistical procedures to descriptive and inferential statistics...
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Neil Salkind makes numbers more approachable with the 4th edition of Statistics for People Who (Think They) Hate Statistics – easily the most informative and entertaining reference on the subject. This bestselling book discusses all the fundamentals of this mathematical branch, from statistical procedures to descriptive and inferential statistics (including correlation, analysis of variance, and presenting data with the use of graphs). Neil Salkind updated this version with even more engaging material. He is a professor emeritus at the University of Kansas where he has taught for 35 years, and is especially interested in writing about different research methods and statistical techniques. He has authored several editions of the same title, along with Excel Statistics – A Quick Guide and Encyclopedia of Research Design. Statistics for People Who (Think They) Hate Statistics (ISBN 9781412979597) makes studying statistics painless for students, offering chapter after chapter of well explained statistical concepts that help build a strong research foundation. The book features new Excel and SPSS exercises, along with chapters on the Z-test. Practice questions are included to test comprehension, and the open-access study website makes learning even easier. Highlighted topics include descriptive statistics, variability, the frequency polygon, and the basics of computing. The book also tackles inferential statistics, factorial analysis of variance, and other useful techniques. Data collection is also discussed, and end-of-chapter exercises have been expanded to ensure retention. An answer key to the practice questions can be found at the end of the book, along with other useful tools like tables and data sets and a glossary of terms.
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